from sklearn.preprocessing import StandardScaler

X = [
    [1, 2, 3, 2],
    [7, 8, 9, 2.01],
    [4, 8, 2, 2.01],
    [9, 5, 2, 1.99],
    [7, 5, 3, 1.99],
    [1, 4, 9, 2]
]

ss=StandardScaler(with_mean=True,with_std=True)
ss.fit(X)
print(ss.mean_)
print(ss.n_samples_seen_)
print(ss.scale_)
print(ss.transform(X))
